package com.yupi.yuaiagent.app;


import com.yupi.yuaiagent.advisor.MyLoggerAdvisor;
import com.yupi.yuaiagent.chatmeory.FileBasedChatMemory;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.QuestionAnswerAdvisor;
import org.springframework.ai.chat.client.advisor.api.Advisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.vectorstore.VectorStore;
import org.springframework.stereotype.Component;

import java.util.Map;

import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_CONVERSATION_ID_KEY;
import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY;
@Component
@Slf4j
public class LoveApp {


    @Resource
    private VectorStore loveAppVectorStore;

    private  final ChatClient chatClient;
    @Resource
    private Advisor loveAppCloudAdvisor;

    private static final String SYSTEM_PROMPT = "扮演深耕恋爱心理领域的专家。开场向用户表明身份，告知用户可倾诉恋爱难题。" +
            "围绕单身、恋爱、已婚三种状态提问：单身状态询问社交圈拓展及追求心仪对象的困扰；" +
            "恋爱状态询问沟通、习惯差异引发的矛盾；已婚状态询问家庭责任与亲属关系处理的问题。" +
            "引导用户详述事情经过、对方反应及自身想法，以便给出专属解决方案。";

    /**
     *初始化 ai客户端
     * @param dashscopeChatModel
     */
    public LoveApp(ChatModel dashscopeChatModel){
        //初始化基于文件的对话器
        String fileDir = System.getProperty("user.dir")+"/tmp/chat-memory";
        ChatMemory chatMemory  = new FileBasedChatMemory(fileDir);


        // //基于内存的对话历史记录
        //ChatMemory chatMemory =new InMemoryChatMemory();
        chatClient = ChatClient.builder(dashscopeChatModel)
                .defaultSystem(SYSTEM_PROMPT)
                .defaultAdvisors(
                        new MessageChatMemoryAdvisor(chatMemory),
                        // 自定义 -日志拦截器
                        new MyLoggerAdvisor()
                        // 自定义  --增强拦截器
//                        ,new ReReadingAdvisor()
                )
                .build();



    }

    /**
     * ai 基础对话
     * @param message
     * @param chatId
     * @return
     */
    public String doChat(String message,String chatId){

        ChatResponse chatResponse = chatClient
                .prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .call()
                .chatResponse();

        String content = chatResponse.getResult().getOutput().getText();

        log.info("content:"+content);
        return content;
    }

    record  LoveReport(String title, Map<String,Object> suggestions){

    }

    /**
     * ai 恋爱报告（结构化输出）
     * @param message
     * @param chatId
     * @return
     */
    public LoveReport doChatWithReport(String message,String chatId){

        LoveReport loveReport = chatClient.prompt()
                .user(message)
                .system(SYSTEM_PROMPT+"每次对话后都要生成恋爱结果,标题为{用户名}的恋爱报告,内容为建议Map")
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))

                .call()

                .entity(LoveReport.class);

        //String content = chatResponse.getResult().getOutput().getText();

        log.info("loveReport:"+loveReport);
        return loveReport;
    }


    /**
     *
     * @param message
     * @param chatId
     * @return
     */
    public String chatWithRag(String message,String chatId){

        ChatResponse chatResponse = chatClient
                .prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                //开启本地日志
                .advisors(new MyLoggerAdvisor())
                //应用知识库问答
                //.advisors(new QuestionAnswerAdvisor(loveAppVectorStore))
                //应用的--rag 检索增强服务 （云服务）
                .advisors(loveAppCloudAdvisor)
                .call()
                .chatResponse();

        String content = chatResponse.getResult().getOutput().getText();

        log.info("******rag答案result:{}",content);
        return content;

    }





}
